{"id":"W2889156009","doi":"10.1021/acs.biomac.8b01066","title":"Acid Degradable Cationic Galactose-Based Hyperbranched Polymers as Nanotherapeutic Vehicles for Epidermal Growth Factor Receptor (EGFR) Knockdown in Cervical Carcinoma","year":2018,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Health Solutions","keywords":"Methacrylamide; Chemistry; Epidermal growth factor receptor; Gene knockdown; Gene silencing; Small interfering RNA; Raft; Cancer research; Molecular biology; Cell biology; Transfection; Biochemistry; Biology; Receptor; Polymer; Polymerization; Organic chemistry; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001160977,0.0003202907,0.0001319307,0.0001723101,0.00008279941,0.0001573465,0.0001190024,0.0002115254,0.0003842877],"category_scores_gemma":[0.000116365,0.0001024262,0.0001595543,0.0001097405,0.0001245846,0.0002594861,0.0001522355,0.0002748802,0.0001438005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001702504,"about_ca_system_score_gemma":0.0001283758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002602388,"about_ca_topic_score_gemma":0.0004040508,"domain_scores_codex":[0.9999452,0.00001260652,0.000003916489,0.0000103347,0.00001677299,0.00001117579],"domain_scores_gemma":[0.9999319,0.00001058612,0.00003240392,0.000004114408,0.000008733025,0.00001221068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001850538,0.000007200675,0.00002185036,0.00001704386,0.000001389158,0.00001422356,0.000005916017,0.0001201598,0.9989558,0.00002535897,0.000005057015,0.0008073485],"study_design_scores_gemma":[0.000005889724,0.0002613175,0.0005840173,0.000003088637,0.000008880344,0.00006092132,0.000005738389,0.0007998398,0.9974947,0.00001452284,0.0007567948,0.000004278592],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993262,0.00146349,0.004437148,0.00004252552,0.000009922823,0.00003583064,0.0000470932,0.00004528234,0.000656629],"genre_scores_gemma":[0.9923326,0.001148428,0.005009586,0.00003179571,0.000006025838,0.00004093988,0.00006555664,0.00001880505,0.001346292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003842877,"threshold_uncertainty_score":0.001285613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695664969122344,"score_gpt":0.2606856192248111,"score_spread":0.2437289695335877,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}